Responsibilities
Build and mentor the computer vision team at Checko
Drive to productionize algorithms (industrial level) developed through hard-core research
Own the design, development, testing, deployment, and craftsmanship of the teams infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
Entrepreneurial and out-of-box thinking essential for a technology startup
Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability
Eligibility
B. Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
M. Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems
Requirements
In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
Ability to understand, optimize and debug imaging algorithms
Understating and experience in openCV library
Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine